Hi, I’m Oussama Gharzouni, a passionate Data Engineer with hands-on experience building and optimizing data pipelines and automating ETL workflows. I love designing data models and developing insightful reporting solutions that help teams make informed decisions. Collaboration is key for me, and I enjoy working with cross-functional teams to drive operational excellence and deliver business insights. With a strong focus on data quality and efficiency, I’ve successfully developed automated reporting tools and Power BI dashboards that boost transparency and reporting efficiency. I’m always eager to learn and grow in the data engineering space while contributing to impactful projects.

OUSSAMA GHARZOUNI

Hi, I’m Oussama Gharzouni, a passionate Data Engineer with hands-on experience building and optimizing data pipelines and automating ETL workflows. I love designing data models and developing insightful reporting solutions that help teams make informed decisions. Collaboration is key for me, and I enjoy working with cross-functional teams to drive operational excellence and deliver business insights. With a strong focus on data quality and efficiency, I’ve successfully developed automated reporting tools and Power BI dashboards that boost transparency and reporting efficiency. I’m always eager to learn and grow in the data engineering space while contributing to impactful projects.

Available to hire

Hi, I’m Oussama Gharzouni, a passionate Data Engineer with hands-on experience building and optimizing data pipelines and automating ETL workflows. I love designing data models and developing insightful reporting solutions that help teams make informed decisions. Collaboration is key for me, and I enjoy working with cross-functional teams to drive operational excellence and deliver business insights.

With a strong focus on data quality and efficiency, I’ve successfully developed automated reporting tools and Power BI dashboards that boost transparency and reporting efficiency. I’m always eager to learn and grow in the data engineering space while contributing to impactful projects.

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Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate

Language

Arabic
Fluent
French
Advanced
English
Advanced
German
Intermediate

Work Experience

Data Engineer (Working Student) - Compliance Department at Allianz Technology
May 31, 2025 - July 21, 2025
Developed and optimized data pipelines with SQL Server and Excel to enhance data quality and reporting accuracy. Analyzed 3 KPIs on sales, inventory, and profitability to support informed management decisions. Prepared SSIS ETL workflows to automate flat file integration, reducing manual work and errors. Optimized reporting workflows by creating Excel VBA tools, formulas, and pivots, cutting generation time by 50%. Designed data models and Power BI dashboards to visualize KPIs, boosting transparency and reporting efficiency.
Data Analyst (Full Time) - Employees Controller at Teleperformance
December 31, 2022 - July 21, 2025
Built automated pipelines to migrate operational data from flat files and Azure to SQL Server, ensuring data integrity. Formulated SQL views and procedures to enforce business rules and streamline workforce analytics. Led Power BI report and dashboard development to track performance, attendance, payroll, and staffing metrics. Implemented incremental loading to cut data refresh times and optimize report delivery. Collaborated with the operational department to define more than 8 KPIs and improve executive dashboard accuracy, leading to a 90% reduction in decision-making time.
Machine Learning (Intern) - Risk Management at Keyrus
September 30, 2021 - July 21, 2025
Created a real-time blood pressure monitoring system with Python, integrating sensor data via Raspberry Pi and triggering alerts through Twilio for critical health events. Applied Python (Pandas, Matplotlib, Numpy), and basic SQLite to process, display, and store real-time blood pressure. Built a credit risk prediction system using Logistic Regression, achieving 85% accuracy with financial data analysis. Used Python (Pandas, scikit-learn) for data preparation and visualized results with Matplotlib for reporting. Trained a customer churn model with XGBoost in Python, achieving 91% accuracy by analyzing usage patterns, activity, and payment history to improve retention.

Education

Bachelor’s degree at FST - Faculty of Sciences of Tunis
September 1, 2013 - June 30, 2020
Master’s degree at Tek Up - Private Higher School of Technology and Engineering
October 1, 2022 - May 31, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Software & Internet, Healthcare, Professional Services

Experience Level

Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate